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Conversational Inverse Information for Context-Based Retrieval of Personal Experiences

  • Yasuhiro Katagiri
  • Mayumi Bono
  • Noriko Suzuki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4012)

Abstract

Recent development of capture and archival technology for experiences can serve to extend our memory and knowledge and enrich our collaboration with others. Conversation is an important facet of human experiences. We focus on the conversational participation structure as a type of inverse information associated with human socio-interactional events. Based on an analysis of the Interaction Corpus collected in the Ubiquitous Sensor Room environment, we argue that inverse information can be effectively employed in the retrieval and re-experiencing of the subjective quality of the captured events.

Keywords

Capture Event Experience Capture Interest Diversity Conversational Partner Conversational Interaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yasuhiro Katagiri
    • 1
  • Mayumi Bono
    • 2
  • Noriko Suzuki
    • 2
  1. 1.Future University-HakodateHokkaidoJapan
  2. 2.ATR Media Information Science LaboratoriesKyotoJapan

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